Rare species are increasingly recognized as crucial, yet vulnerable components of Earth's ecosystems. This is also true for microbial communities, which are typically composed of a high number of relatively rare species. Recent studies have demonstrated that rare species can have an over-proportional role in biogeochemical cycles and may be a hidden driver of microbiome function. In this review, we provide an ecological overview of the rare microbial biosphere, including causes of rarity and the impacts of rare species on ecosystem functioning. We discuss how rare species can have a preponderant role for local biodiversity and species turnover with rarity potentially bound to phylogenetically conserved features. Rare microbes may therefore be overlooked keystone species regulating the functioning of host-associated, terrestrial and aquatic environments. We conclude this review with recommendations to guide scientists interested in investigating this rapidly emerging research area.

Although temporal heterogeneity is a well-accepted driver of biodiversity, effects of interannual variation in land-use intensity (LUI) have not been addressed yet. Additionally, responses to land use can differ greatly among different organisms; therefore, overall effects of land-use on total local biodiversity are hardly known. To test for effects of LUI (quantified as the combined intensity of fertilization, grazing, and mowing) and interannual variation in LUI (SD in LUI across time), we introduce a unique measure of whole-ecosystem biodiversity, multidiversity. This synthesizes individual diversity measures across up to 49 taxonomic groups of plants, animals, fungi, and bacteria from 150 grasslands. Multidiversity declined with increasing LUI among grasslands, particularly for rarer species and aboveground organisms, whereas common species and belowground groups were less sensitive. However, a high level of interannual variation in LUI increased overall multidiversity at low LUI and was even more beneficial for rarer species because it slowed the rate at which the multidiversity of rare species declined with increasing LUI. In more intensively managed grasslands, the diversity of rarer species was, on average, 18% of the maximum diversity across all grasslands when LUI was static over time but increased to 31% of the maximum when LUI changed maximally over time. In addition to decreasing overall LUI, we suggest varying LUI across years as a complementary strategy to promote biodiversity conservation.

In situ hybridization with rRNA-targeted, fluorescent (Cy3-labeled) oligonucleotide probes was used to analyze bacterial community structure in ethanol-or paraformaldehyde-fixed bulk soil after homogenization of soil samples in 0.1% pyrophosphate by mild ultrasonic treatment. In ethanol-fixed samples 37 ± 7%, and in paraformaldehyde 41 ± 8% of the 4′, 6-diamidino-2-phenylindole(DAPI)-stained cells were detected with the bacterial probe Eub338. The yield could not be increased by enzymatic and/or chemical pretreatments known to enhance the permeability of bacterial cells for probes. However, during storage in ethanol for 7 months, the detectability of bacteria increased in both ethanol-and paraformaldehyde-fixed samples to up to 47 ± 8% due to an increase in the detection yield of members of the α-subdivision of Proteobacteria from 2 ± 1% to 10 ± 3%. Approximately half of the bacteria detected by probe Eub338 could be affiliated to major phylogenetic groups such as the α-, β-, γ-, and δ-subdivisions of Proteobacteria, gram-positive bacteria with a high G+C DNA content, bacteria of the Cytophaga-Flavobacterium cluster of the CFB phylum, and the planctomycetes. The analysis revealed that bacteria of the α-and δ-subdivision of Proteobacteria and the planctomycetes were predominant. Here, members of the α-subdivision of Proteobacteria accounted for approximately 10 ± 3% of DAPI-stained cells, which corresponded to 44 ± 16 × 10 8 cells (g soil, dry wt.) -1 , while members of the δ-subdivision of Proteobacteria made up 4 ± 2% of DAPI-stained cells [17 ± 9 × 10 8 cells (g soil, dry wt.) -1 ]. A large population of bacteria in bulk soil was represented by the planctomycetes, which accounted for 7 ± 3% of DAPI-stained cells [32 ± 12 × 10 8 cells (g soil, dry wt.) -1 ]. The detection of planctomycetes in soil confirms previous reports on the occurrence of planctomycetes in soil and indicates a yet unknown ecological significance of this group, which to date has never been isolated from terrestrial environments.

No abstract

We isolated 28 strains of 'Spumella-like' flagellates from different freshwater and soil habitats in Austria, People's Republic of China, Nepal, New Zealand, Uganda, Kenya, Tanzania and Hawaii by use of a modified filtration-acclimatization method. 'Spumella-like' flagellates were found in all of the samples and were often among the dominant bacterivorous flagellates in the respective environments. The small subunit ribosomal RNA (SSU rRNA) gene sequence of the isolates was determined and aligned with previously published sequences of members belonging to the Chrysophyceae sensu stricto. Phylogenetic analysis of the 28 new sequences confirmed their position within the Chrysophyceae sensu stricto and positioned them within different clades. Most of the sequences grouped within clade C and formed several subclusters separated from each other by green taxa including flagellates belonging to Ochromonas, Dinobryon, Poterioochromonas and others. All soil isolates clustered together (subcluster C1) with the soil strain Spumella elongata and the undescribed soil strain 'Spumella danica'. Aquatic isolates were affiliated with at least two branches (C2 and C3). Sequence similarity to the closest related member of the Chrysophyceae ranged between 92% and 99.6%, sequence divergence among the 'Spumella-like' flagellates was as high as 10%. We conclude that (i) the 'Spumella-like' flagellates are a diverse group both in terms of sequence dissimilarity between isolates and in terms of the number of genotypes, (ii) Spumella and Ochromonas are polyphyletic, and (iii) based on the SSU rRNA gene no biogeographical restriction of certain branches could be observed even though different ecotypes may be represented by the same genotype.

To understand the fine-scale effects of changes in nutrient availability on eukaryotic soil microorganisms communities, a multiple barcoding approach was used to analyse soil samples from four different treatments in a long-term fertilization experiment. We performed PCR amplification on soil DNA with primer pairs specifically targeting the 18S rRNA genes of all eukaryotes and three protist groups (Cercozoa, Chrysophyceae-Synurophyceae and Kinetoplastida) as well as the ITS gene of fungi and the 23S plastid rRNA gene of photoautotrophic microorganisms. Amplicons were pyrosequenced, and a total of 88,706 quality filtered reads were clustered into 1232 operational taxonomic units (OTU) across the six data sets. Comparisons of the taxonomic coverage achieved based on overlapping assignment of OTUs revealed that half of the eukaryotic taxa identified were missed by the universal eukaryotic barcoding marker. There were only little differences in OTU richness observed between organic- (farmyard manure), mineral- and nonfertilized soils. However, the community compositions appeared to be strongly structured by organic fertilization in all data sets other than that generated using the universal eukaryotic 18S rRNA gene primers, whereas mineral fertilization had only a minor effect. In addition, a co-occurrence based network analysis revealed complex potential interaction patterns between OTUs from different trophic levels, for example between fungivorous flagellates and fungi. Our results demonstrate that changes in pH, moisture and organic nutrients availability caused shifts in the composition of eukaryotic microbial communities at multiple trophic levels.

Soils harbor a substantial fraction of the world's biodiversity, contributing to many crucial ecosystem functions. It is thus essential to identify general macroecological patterns related to the distribution and functioning of soil organisms to support their conservation and consideration by governance. These macroecological analyses need to represent the diversity of environmental conditions that can be found worldwide. Here we identify and characterize existing environmental gaps in soil taxa and ecosystem functioning data across soil macroecological studies and 17,186 sampling sites across the globe. These data gaps include important spatial, environmental, taxonomic, and functional gaps, and an almost complete absence of temporally explicit data. We also identify the limitations of soil macroecological studies to explore general patterns in soil biodiversity-ecosystem functioning relationships, with only 0.3% of all sampling sites having both information about biodiversity and function, although with different taxonomic groups and functions at each site. Based on this information, we provide clear priorities to support and expand soil macroecological research.

Bacterial diversity in 16S ribosomal DNA and reverse-transcribed 16S rRNA clone libraries originating from the heavy metal-contaminated rhizosphere of the metal-hyperaccumulating plant Thlaspi caerulescens was analysed and compared with that of contaminated bulk soil. Partial sequence analysis of 282 clones revealed that most of the environmental sequences in both soils affiliated with five major phylogenetic groups, the Actinobacteria, alpha-Proteobacteria, beta-Proteobacteria, Acidobacteria and the Planctomycetales. Only 14.7% of all phylotypes (sequences with similarities> 97%), but 45% of all clones, were common in the rhizosphere and the bulk soil clone libraries. The combined use of rDNA and rRNA libraries indicated which taxa might be metabolically active in this soil. All dominant taxa, with the exception of the Actinobacteria, were relatively less represented in the rRNA libraries compared with the rDNA libraries. Clones belonging to the Verrucomicrobiales, Firmicutes, Cytophaga-Flavobacterium-Bacteroides and OP10 were found only in rDNA clone libraries, indicating that they might not represent active constituents in our samples. The most remarkable result was that sequences belonging to the Actinobacteria dominated both bulk and rhizosphere soil libraries derived from rRNA (50% and 60% of all phylotypes respectively). Seventy per cent of these clone sequences were related to the Rubrobacteria subgroups 2 and 3, thus providing for the first time evidence that this group of bacteria is probably metabolically active in heavy metal-contaminated soil.